Featured Publications
Impaired TIGIT expression on B cells drives circulating follicular helper T cell expansion in multiple sclerosis
Asashima H, Axisa PP, Pham THG, Longbrake EE, Ruff WE, Lele N, Cohen I, Raddassi K, Sumida TS, Hafler DA. Impaired TIGIT expression on B cells drives circulating follicular helper T cell expansion in multiple sclerosis. Journal Of Clinical Investigation 2022, 132: e156254. PMID: 36250467, PMCID: PMC9566906, DOI: 10.1172/jci156254.Peer-Reviewed Original ResearchConceptsRelapsing-remitting multiple sclerosisMemory B cellsCTfh cellsB cellsTIGIT expressionMultiple sclerosisT cellsFollicular helper T cellsHealthy age-matched controlsB-cell depletionT cell expansionHelper T cellsAge-matched controlsB cell functionB-cell pathwayDifferential gene expression signaturesTfh cellsDisease activityGene expression signaturesCell depletionCD40 ligandTranscription factor TCF4Disease pathogenesisImmune systemNew MRIA multiple sclerosis–protective coding variant reveals an essential role for HDAC7 in regulatory T cells
Axisa P, Yoshida T, Lucca L, Kasler H, Lincoln M, Pham G, Del Priore D, Carpier J, Lucas C, Verdin E, Sumida T, Hafler D. A multiple sclerosis–protective coding variant reveals an essential role for HDAC7 in regulatory T cells. Science Translational Medicine 2022, 14: eabl3651. PMID: 36516268, DOI: 10.1126/scitranslmed.abl3651.Peer-Reviewed Original ResearchConceptsExperimental autoimmune encephalitisRegulatory T cellsHistone deacetylase 7Multiple sclerosisT cellsMouse modelFunction of Foxp3CD4 T cellsHigher suppressive capacityVivo modelingAutoimmune encephalitisEAE severityImmunosuppressive subsetAutoimmune diseasesImmunomodulatory roleSuppressive capacityImmune cellsDisease onsetDistinct molecular classesSusceptibility lociGenetic susceptibility lociSingle-cell RNA sequencingDisease riskPatient samplesProtective variantsPopulation genetics meets single-cell sequencing
Sumida TS, Hafler DA. Population genetics meets single-cell sequencing. Science 2022, 376: 134-135. PMID: 35389792, DOI: 10.1126/science.abq0426.Peer-Reviewed Original ResearchType I interferon transcriptional network regulates expression of coinhibitory receptors in human T cells
Sumida TS, Dulberg S, Schupp JC, Lincoln MR, Stillwell HA, Axisa PP, Comi M, Unterman A, Kaminski N, Madi A, Kuchroo VK, Hafler DA. Type I interferon transcriptional network regulates expression of coinhibitory receptors in human T cells. Nature Immunology 2022, 23: 632-642. PMID: 35301508, PMCID: PMC8989655, DOI: 10.1038/s41590-022-01152-y.Peer-Reviewed Original ResearchConceptsCoinhibitory receptor expressionHuman T cellsIFN-I responsesCoinhibitory receptorsT cellsTIGIT expressionReceptor expressionAcute SARS-CoV-2 infectionPD-1/TimSARS-CoV-2 infectionEnhancement of immunotherapyType 1 interferonT-cell featuresLAG-3Infectious diseasesDifferent temporal kineticsTranscription factorsCancer therapyReceptorsCell featuresKey transcription factorIFNPresent studyMRNA profilingKey regulatorSingle-cell multi-omics reveals dyssynchrony of the innate and adaptive immune system in progressive COVID-19
Unterman A, Sumida TS, Nouri N, Yan X, Zhao AY, Gasque V, Schupp JC, Asashima H, Liu Y, Cosme C, Deng W, Chen M, Raredon MSB, Hoehn KB, Wang G, Wang Z, DeIuliis G, Ravindra NG, Li N, Castaldi C, Wong P, Fournier J, Bermejo S, Sharma L, Casanovas-Massana A, Vogels CBF, Wyllie AL, Grubaugh ND, Melillo A, Meng H, Stein Y, Minasyan M, Mohanty S, Ruff WE, Cohen I, Raddassi K, Niklason L, Ko A, Montgomery R, Farhadian S, Iwasaki A, Shaw A, van Dijk D, Zhao H, Kleinstein S, Hafler D, Kaminski N, Dela Cruz C. Single-cell multi-omics reveals dyssynchrony of the innate and adaptive immune system in progressive COVID-19. Nature Communications 2022, 13: 440. PMID: 35064122, PMCID: PMC8782894, DOI: 10.1038/s41467-021-27716-4.Peer-Reviewed Original ResearchMeSH KeywordsAdaptive ImmunityAgedAntibodies, Monoclonal, HumanizedCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCells, CulturedCOVID-19COVID-19 Drug TreatmentFemaleGene Expression ProfilingGene Expression RegulationHumansImmunity, InnateMaleReceptors, Antigen, B-CellReceptors, Antigen, T-CellRNA-SeqSARS-CoV-2Single-Cell AnalysisConceptsProgressive COVID-19B cell clonesSingle-cell analysisT cellsImmune responseMulti-omics single-cell analysisCOVID-19Cell clonesAdaptive immune interactionsSevere COVID-19Dynamic immune responsesGene expressionSARS-CoV-2 virusAdaptive immune systemSomatic hypermutation frequenciesCellular effectsProtein markersEffector CD8Immune signaturesProgressive diseaseHypermutation frequencyProgressive courseClassical monocytesClonesImmune interactionsImmune dysregulation and autoreactivity correlate with disease severity in SARS-CoV-2-associated multisystem inflammatory syndrome in children
Ramaswamy A, Brodsky NN, Sumida TS, Comi M, Asashima H, Hoehn KB, Li N, Liu Y, Shah A, Ravindra NG, Bishai J, Khan A, Lau W, Sellers B, Bansal N, Guerrerio P, Unterman A, Habet V, Rice AJ, Catanzaro J, Chandnani H, Lopez M, Kaminski N, Dela Cruz CS, Tsang JS, Wang Z, Yan X, Kleinstein SH, van Dijk D, Pierce RW, Hafler DA, Lucas CL. Immune dysregulation and autoreactivity correlate with disease severity in SARS-CoV-2-associated multisystem inflammatory syndrome in children. Immunity 2021, 54: 1083-1095.e7. PMID: 33891889, PMCID: PMC8043654, DOI: 10.1016/j.immuni.2021.04.003.Peer-Reviewed Original ResearchConceptsMIS-C patientsDisease severityInflammatory syndromeTCR repertoireSARS-CoV-2-associated multisystem inflammatory syndromeAsymptomatic SARS-CoV-2 infectionSARS-CoV-2 infectionAdult COVID-19Post-infectious complicationsMultisystem inflammatory syndromeCytotoxicity genesHealthy pediatricImmune dysregulationMemory TActive infectionMyeloid dysfunctionPatientsSingle-cell RNA sequencingFlow cytometrySerum proteomicsRepertoire analysisElevated expressionSeverityAlarminsCOVID-19Cardiac dopamine D1 receptor triggers ventricular arrhythmia in chronic heart failure
Yamaguchi T, Sumida TS, Nomura S, Satoh M, Higo T, Ito M, Ko T, Fujita K, Sweet ME, Sanbe A, Yoshimi K, Manabe I, Sasaoka T, Taylor MRG, Toko H, Takimoto E, Naito AT, Komuro I. Cardiac dopamine D1 receptor triggers ventricular arrhythmia in chronic heart failure. Nature Communications 2020, 11: 4364. PMID: 32868781, PMCID: PMC7459304, DOI: 10.1038/s41467-020-18128-x.Peer-Reviewed Original ResearchConceptsVentricular arrhythmiasDopamine D1 receptorsD1 receptorsChronic heart failureHeart failure patientsSustained ventricular tachycardiaNormal calcium handlingFailure patientsHeart failureModel miceVentricular tachycardiaPathophysiological roleCalcium handlingTherapeutic targetDopamine systemSingle-cell resolution analysisArrhythmiasD1RCardiomyocytesReceptorsTachycardiaPatientsMiceComplement C1q Activates Canonical Wnt Signaling and Promotes Aging-Related Phenotypes
Naito AT, Sumida T, Nomura S, Liu ML, Higo T, Nakagawa A, Okada K, Sakai T, Hashimoto A, Hara Y, Shimizu I, Zhu W, Toko H, Katada A, Akazawa H, Oka T, Lee JK, Minamino T, Nagai T, Walsh K, Kikuchi A, Matsumoto M, Botto M, Shiojima I, Komuro I. Complement C1q Activates Canonical Wnt Signaling and Promotes Aging-Related Phenotypes. Cell 2012, 149: 1298-1313. PMID: 22682250, PMCID: PMC3529917, DOI: 10.1016/j.cell.2012.03.047.Peer-Reviewed Original ResearchConceptsComplement C1qWnt coreceptor low-density lipoprotein receptor-related protein 6Canonical Wnt signalingLow-density lipoprotein receptor-related protein 6Serum C1q concentrationLipoprotein receptor-related protein 6Age-related phenotypesWild-type miceAge-associated impairmentWnt signalingMuscle regenerationAge-associated declineYoung miceC1q treatmentC1q concentrationsSkeletal muscle regenerationMammalian agingMiceProtein 6C1qC1s inhibitionCanonical WntMultiple tissuesFrizzled receptorsWntPD-1highCXCR5–CD4+ peripheral helper T cells promote CXCR3+ plasmablasts in human acute viral infection
Asashima H, Mohanty S, Comi M, Ruff W, Hoehn K, Wong P, Klein J, Lucas C, Cohen I, Coffey S, Lele N, Greta L, Raddassi K, Chaudhary O, Unterman A, Emu B, Kleinstein S, Montgomery R, Iwasaki A, Dela Cruz C, Kaminski N, Shaw A, Hafler D, Sumida T. PD-1highCXCR5–CD4+ peripheral helper T cells promote CXCR3+ plasmablasts in human acute viral infection. Cell Reports 2023, 42: 111895. PMID: 36596303, PMCID: PMC9806868, DOI: 10.1016/j.celrep.2022.111895.Peer-Reviewed Original ResearchConceptsAcute viral infectionTph cellsViral infectionCXCR3 expressionClinical outcomesHelper TSevere viral infectionsB cell helpBetter clinical outcomesProtective humoral immunityT cell-B cell interactionsKey immune responsesPlasmablast expansionB cell differentiationCell subsetsHumoral immunityCell helpImmune responseInterferon γPlasmablast differentiationB cellsPlasmablastsCell responsesInfectionCD4Regulatory T cells in peripheral tissue tolerance and diseases
Cheru N, Hafler D, Sumida T. Regulatory T cells in peripheral tissue tolerance and diseases. Frontiers In Immunology 2023, 14: 1154575. PMID: 37197653, PMCID: PMC10183596, DOI: 10.3389/fimmu.2023.1154575.Peer-Reviewed Original ResearchConceptsTissue-resident TregsRegulatory T cellsT cellsResident TregsTissue TregsAutoimmune diseasesCommon human autoimmune diseasesAutoreactive T cellsHuman autoimmune diseasesNon-immune cellsNon-lymphoid tissuesTissue-resident cellsTreg poolTreg studiesEffector cytokinesPeripheral toleranceTreg functionIPEX syndromeImmune homeostasisSpecific tissue environmentsTregsSuppressive functionLoss of functionResident cellsGene signatureHyperosmotic stress response regulates interstitial homeostasis and pathogenic inflammation
Sumida T. Hyperosmotic stress response regulates interstitial homeostasis and pathogenic inflammation. The Journal Of Biochemistry 2023, 173: 159-166. PMID: 36722164, DOI: 10.1093/jb/mvad009.Peer-Reviewed Original ResearchConceptsHyperosmotic stress responseStress responseCell type-specific mannerFundamental cellular responsesType-specific mannerHeat shock proteinsCell cycle arrestImmune cell differentiationOsmolyte synthesisContext of diseaseHyperosmotic stressIon transportersHyperosmotic responseMetabolic remodelingMolecular mechanismsCellular responsesShock proteinsCell differentiationHuman diseasesCellular shrinkageCycle arrestAdaptative responseSpecific mannerTissue microenvironmentTissue immune homeostasisActivated β-catenin in Foxp3+ regulatory T cells links inflammatory environments to autoimmunity
Sumida T, Lincoln MR, Ukeje CM, Rodriguez DM, Akazawa H, Noda T, Naito AT, Komuro I, Dominguez-Villar M, Hafler DA. Activated β-catenin in Foxp3+ regulatory T cells links inflammatory environments to autoimmunity. Nature Immunology 2018, 19: 1391-1402. PMID: 30374130, PMCID: PMC6240373, DOI: 10.1038/s41590-018-0236-6.Peer-Reviewed Original ResearchConceptsProstaglandin E receptor 2Regulatory T cellsTreg cellsT cellsAnti-inflammatory cytokine productionIL-10 productionPeripheral immune toleranceIL-10 expressionΒ-cateninE receptor 2Treg subpopulationsTreg phenotypeIL-10Cytokines IFNImmune toleranceTreg signatureCytokine signatureMultiple sclerosisAutoimmune diseasesCytokine productionInflammatory environmentLethal autoimmunityReceptor 2Activated β-cateninIFN
2024
Cholesterol promotes IFNG mRNA expression in CD4+ effector/memory cells by SGK1 activation
Hanin A, Comi M, Sumida T, Hafler D. Cholesterol promotes IFNG mRNA expression in CD4+ effector/memory cells by SGK1 activation. Life Science Alliance 2024, 7: e202402890. PMID: 39366761, PMCID: PMC11452476, DOI: 10.26508/lsa.202402890.Peer-Reviewed Original ResearchConceptsCentral nervous systemT cellsEffector/memory cellsCentral nervous system milieuT cell environmentCD4 T cellsIFNG mRNA expressionCXCR3<sup>+</sup> cellsT cell homeostasisInhibition of SGK1Targeting lipid pathwaysMaintenance of immune surveillanceSerum/glucocorticoid-regulated kinaseImmune surveillanceHealthy donorsCytotoxic capacityEffector responsesInflammatory conditionsSGK1 activityMRNA expressionNervous systemSGK1Metabolic conditionsLipid pathwaysTissue adaptationAn autoimmune transcriptional circuit drives FOXP3+ regulatory T cell dysfunction
Sumida T, Lincoln M, He L, Park Y, Ota M, Oguchi A, Son R, Yi A, Stillwell H, Leissa G, Fujio K, Murakawa Y, Kulminski A, Epstein C, Bernstein B, Kellis M, Hafler D. An autoimmune transcriptional circuit drives FOXP3+ regulatory T cell dysfunction. Science Translational Medicine 2024, 16: eadp1720. PMID: 39196959, DOI: 10.1126/scitranslmed.adp1720.Peer-Reviewed Original ResearchConceptsForkhead box P3Autoimmune diseasesCD4<sup>+</sup>Foxp3<sup>+</sup> regulatory T cellsMultiple sclerosisFoxp3<sup>+</sup> regulatory T cellsRegulatory T cell dysfunctionPR domain zinc finger protein 1Zinc finger protein 1Glucocorticoid-regulated kinase 1Regulatory T cellsT cell dysfunctionDisorder of young adultsAutoimmune disease multiple sclerosisDisease multiple sclerosisExpression of serumTranscriptional circuitsEpigenomic profilingShort isoformPrevent autoimmunityUpstream regulatorT cellsHuman autoimmunityEvolutionary emergenceKinase 1Molecular mechanismsA scalable approach to topic modelling in single-cell data by approximate pseudobulk projection
Subedi S, Sumida T, Park Y. A scalable approach to topic modelling in single-cell data by approximate pseudobulk projection. Life Science Alliance 2024, 7: e202402713. PMID: 39107066, PMCID: PMC11303850, DOI: 10.26508/lsa.202402713.Peer-Reviewed Original ResearchConceptsCell type-specific marker genesSingle-cell RNA-seq data analysisRNA-seq data analysisSingle-cell data analysisTopic modelsSingle-cell dataProbabilistic topic modelPathway annotationScalable approximation methodsLow memory consumptionComputation timeCellular statesMarker genesDictionary matrixLatent representationSingle-cellMemory consumptionTopic assignmentsComputing unitsFrequency vectorSelection stepCellsData analysisScalable approachData matrix
2023
Cytokinopathy with aberrant cytotoxic lymphocytes and profibrotic myeloid response in SARS-CoV-2 mRNA vaccine–associated myocarditis
Barmada A, Klein J, Ramaswamy A, Brodsky N, Jaycox J, Sheikha H, Jones K, Habet V, Campbell M, Sumida T, Kontorovich A, Bogunovic D, Oliveira C, Steele J, Hall E, Pena-Hernandez M, Monteiro V, Lucas C, Ring A, Omer S, Iwasaki A, Yildirim I, Lucas C. Cytokinopathy with aberrant cytotoxic lymphocytes and profibrotic myeloid response in SARS-CoV-2 mRNA vaccine–associated myocarditis. Science Immunology 2023, 8: eadh3455-eadh3455. PMID: 37146127, PMCID: PMC10468758, DOI: 10.1126/sciimmunol.adh3455.Peer-Reviewed Original ResearchConceptsMRNA vaccinesSARS-CoV-2 mRNA vaccinesSARS-CoV-2 mRNA vaccinationC-reactive protein levelsB-type natriuretic peptidePeripheral blood mononuclear cellsCardiac tissue inflammationDeep immune profilingSerum soluble CD163Vaccine-associated myocarditisCohort of patientsBlood mononuclear cellsCytotoxic T cellsLate gadolinium enhancementHypersensitivity myocarditisElevated troponinMRNA vaccinationImaging abnormalitiesNK cellsImmune profilingKiller cellsMyeloid responseNatriuretic peptideHumoral mechanismsInflammatory cytokines
2021
Tet2 Controls the Responses of β cells to Inflammation in Autoimmune Diabetes
Rui J, Deng S, Perdigoto AL, Ponath G, Kursawe R, Lawlor N, Sumida T, Levine-Ritterman M, Stitzel ML, Pitt D, Lu J, Herold KC. Tet2 Controls the Responses of β cells to Inflammation in Autoimmune Diabetes. Nature Communications 2021, 12: 5074. PMID: 34417463, PMCID: PMC8379260, DOI: 10.1038/s41467-021-25367-z.Peer-Reviewed Original ResearchConceptsImmune cellsΒ-cellsNOD/SCID recipientsDiabetogenic immune cellsDiabetogenic T cellsBone marrow transplantType 1 diabetesExpression of TET2Human β-cellsIslet infiltratesSCID recipientsMarrow transplantInflammatory pathwaysTransfer of diseaseT cellsInflammatory genesImmune killingPathologic interactionsReduced expressionDiabetesInflammationTET2MiceRecipientsCellsCutting Edge: Distinct B Cell Repertoires Characterize Patients with Mild and Severe COVID-19
Hoehn KB, Ramanathan P, Unterman A, Sumida TS, Asashima H, Hafler DA, Kaminski N, Dela Cruz CS, Sealfon SC, Bukreyev A, Kleinstein SH. Cutting Edge: Distinct B Cell Repertoires Characterize Patients with Mild and Severe COVID-19. The Journal Of Immunology 2021, 206: 2785-2790. PMID: 34049971, PMCID: PMC8627528, DOI: 10.4049/jimmunol.2100135.Peer-Reviewed Original ResearchConceptsSevere COVID-19Mild COVID-19B cell responsesMemory B cellsB cell repertoireB cellsCell repertoireCOVID-19Cell responsesExtrafollicular B cell responsesLong-term immunitySymptomatic COVID-19Onset of symptomsB cell populationsGerminal center reactionProtective immunityPlasma cellsSingle-cell RNA sequencingCenter reactionPatientsCell populationsImmunityRNA sequencingCellsPostvaccinationNEBULA is a fast negative binomial mixed model for differential or co-expression analysis of large-scale multi-subject single-cell data
He L, Davila-Velderrain J, Sumida TS, Hafler DA, Kellis M, Kulminski AM. NEBULA is a fast negative binomial mixed model for differential or co-expression analysis of large-scale multi-subject single-cell data. Communications Biology 2021, 4: 629. PMID: 34040149, PMCID: PMC8155058, DOI: 10.1038/s42003-021-02146-6.Peer-Reviewed Original ResearchConceptsNegative binomial mixed modelsBinomial mixed modelsSingle-cell dataHigh-dimensional integralsLarge sample approximationLaplace approximationCell-level expressionMixed modelsApproximationNebulaSpeed gainData setsOrders of magnitudeMarker gene identificationIntegralsModelOverdispersionFalse positive errors
2018
Enhanced astrocyte responses are driven by a genetic risk allele associated with multiple sclerosis
Ponath G, Lincoln MR, Levine-Ritterman M, Park C, Dahlawi S, Mubarak M, Sumida T, Airas L, Zhang S, Isitan C, Nguyen TD, Raine CS, Hafler DA, Pitt D. Enhanced astrocyte responses are driven by a genetic risk allele associated with multiple sclerosis. Nature Communications 2018, 9: 5337. PMID: 30559390, PMCID: PMC6297228, DOI: 10.1038/s41467-018-07785-8.Peer-Reviewed Original ResearchConceptsMultiple sclerosisAstrocyte responseRisk variantsLocal autoimmune inflammationPeripheral immune cellsCentral nervous system cellsPeripheral immune systemCultured human astrocytesNervous system cellsNF-κB signalingCNS accessDysfunctional lymphocytesAstroglial functionAutoimmune inflammationLymphocytic infiltrateLymphocyte recruitmentImmune cellsGenetic risk allelesGenetic risk variantsMS lesionsMS susceptibilityHuman astrocytesLesion sizeImmune systemSystem cells